Social Media Marketer

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Job Title: Content Writer

Location: [Indore / Chennai]

Experience: Fresher – 1 Year

Key Responsibilities

• Write high-quality blogs, website content, and articles
• Create engaging social media captions and marketing content
• Conduct thorough research on industry-related topics
• Optimize content using basic SEO techniques
• Proofread and edit content before publication

Required Skills

• Strong written and verbal communication skills
• Basic understanding of SEO and keyword usage
• Familiarity with tools like MS Word, Google Docs, Grammarly

About the Role

We're seeking a skilled Java Developer with strong AWS cloud experience to join our

solution architecture team. You'll be building scalable backend systems, integrating diverse

enterprise platforms, and developing cloud-native solutions for clients across government,

agriculture, and manufacturing sectors.

Key Responsibilities

Application Development

• Design and develop robust Java-based backend services and APIs for enterprise

applications

• Build microservices architectures for cloud-native deployments on AWS

• Implement RESTful APIs and SOAP web services for enterprise integration

• Develop serverless applications using AWS Lambda and event-driven architectures

• Create data processing pipelines using AWS services

AWS Cloud Development

• Deploy and manage applications on AWS infrastructure (EC2, ECS, EKS)

• Implement serverless solutions using Lambda, API Gateway, and Step Functions

• Design and implement storage solutions using S3, EBS, and EFS

• Work with AWS databases (RDS, Aurora, DynamoDB)

• Implement messaging and queuing using SQS, SNS, and EventBridge

• Configure and manage application monitoring using CloudWatch

System Integration

• Design and implement integration solutions connecting disparate enterprise systems

• Build adapters and connectors for third-party APIs, legacy systems, and SaaS

platforms

• Implement enterprise integration patterns (message routing, transformation,

orchestration)

• Develop middleware solutions using AWS integration services

• Handle data synchronization, format transformations (XML, JSON, CSV), and

protocol conversions

Database & Performance

• Design and optimize database schemas for AWS RDS (PostgreSQL, MySQL) and

Aurora

• Write efficient SQL queries, stored procedures, and optimize database performance

• Implement caching strategies using AWS ElastiCache (Redis/Memcached)

• Configure database connection pooling and manage high-availability setups

• Troubleshoot database bottlenecks and resolve concurrency issues

Security & DevOps

• Implement AWS security best practices (IAM, Security Groups, KMS)

• Build CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy

• Configure application auto-scaling and load balancing

Quality & Best Practices

• Write clean, maintainable code following SOLID principles and design patterns

• Implement comprehensive unit and integration testing

• Participate in code reviews and technical design discussions

• Document technical specifications, API contracts, and AWS architecture diagrams

Required Skills & Experience

Core Java Expertise

• 3-5 years of hands-on Java development experience (Java 11+ preferred)

• Strong understanding of OOP concepts, data structures, and algorithms

• Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA)

• Proficiency in building RESTful and SOAP web services

AWS Cloud Experience (Must Have)

• 2+ years of hands-on AWS experience with production deployments

• Strong knowledge of core AWS services: EC2, S3, RDS, Lambda, API Gateway

• Experience with AWS networking: VPC, subnets, security groups, load balancers

• Understanding of AWS IAM, security best practices, and compliance

• Experience with AWS monitoring and logging (CloudWatch, X-Ray)

• Knowledge of AWS messaging services (SQS, SNS, EventBridge)

• Familiarity with AWS database services (RDS, Aurora, DynamoDB)

Integration Experience

• Experience with enterprise integration patterns and middleware solutions

• Knowledge of API design, development, and management

• Understanding of authentication/authorization mechanisms (OAuth2, JWT, SAML)

• Experience with data transformation and mapping frameworks

• Familiarity with integration protocols (HTTP/S, FTP/SFTP, SMTP, JMS)

Database Skills

• Strong SQL skills with relational databases (PostgreSQL, MySQL preferred)

• Experience with JPA/Hibernate ORM frameworks

• Understanding of database connection pooling and transaction management

• Knowledge of database migrations and versioning tools (Flyway/Liquibase)

Technical Stack

• Build tools: Maven or Gradle

• Version control: Git

• API documentation: Swagger/OpenAPI

• Testing frameworks: JUnit, Mockito, TestNG

• Containerization: Docker (experience with ECS/EKS is a plus)

Must have

• Proven usage of Agentic AI Tools in SDLC

Bonus Skills

• AWS Certifications (Developer)

• Experience with message brokers (Kafka, RabbitMQ, ActiveMQ, Amazon MSK)

• Kubernetes and container orchestration (EKS)

• AWS serverless application development (SAM, Serverless Framework)

• Experience with Apache Camel, MuleSoft, or other integration platforms

• CI/CD tools (Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline)

• Knowledge React/Angular technologies for full-stack collaboration

• Experience with ERP/CRM systems integration

Desired Attributes

• Strong problem-solving and analytical thinking abilities

• Ability to design cloud-native architectures following AWS Well-Architected

Framework

• Good communication skills for interacting with clients and cross-functional teams

• Self-motivated with ability to work independently and in team environments

• Attention to detail and commitment to delivering quality solutions

• Cost-conscious approach to AWS resource utilization

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or

related field

• Equivalent practical experience will be considered

• AWS certifications are highly valued

Job Description - Senior AI Engineer

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving

innovation in AI-driven solutions with a global impact. This role is specifically tailored for

a highly motivated professional with a strong technical background in Python and Java,

hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based

chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience,

preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end

development lifecycle, including solution architecture, design, implementation,

deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the

delivery of high-performance, reliable, and impactful solutions.

What You Will Do:

• Lead the design and development of AI-driven applications, particularly focusing on

RAG based chatbot solutions.

• Architect robust solutions leveraging Python and Java to ensure scalability, reliability,

and maintainability.

• Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing

performance and resource utilization.

• Collaborate closely with cross-functional teams to understand requirements, define

project scopes, and deliver solutions effectively.

• Mentor team members, providing guidance on best practices in software

development, AI methodologies, and cloud deployments.

• Ensure solutions meet quality standards, including thorough testing, debugging,

performance tuning, and documentation.

• Continuously research emerging AI technologies and methodologies to incorporate

best practices and innovation into our products

Requirements

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science,

Mathematics, Statistics or related fields.

• At least 3 years of professional experience in AI/Machine Learning engineering.

• Strong programming skills in Python and Java.

• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-

based chatbots or similar generative AI applications.

• Proficiency in cloud platforms, particularly AWS, including experience with EC2,

Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.

• Solid understanding of AI methodologies, including natural language processing (NLP),

vector databases, embedding models, and large language model integrations.

• Experience with leading projects or teams, managing technical deliverables, and

ensuring high-quality outcomes.

Preferred Qualifications:

• AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).

• Familiarity with popular AI/ML frameworks and libraries such as Hugging Face

Transformers, TensorFlow, PyTorch, LangChain, or similar.

• Experience in Agile development methodologies.

• Excellent communication skills, capable of conveying complex technical concepts

clearly and effectively.

• Strong analytical and problem-solving capabilities, with the ability to navigate

ambiguous technical challenge

Technical Skills – Must have  

 Lead the design and development of AI-driven test automation frameworks and solutions.

 Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.

 Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.

 Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.

 Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.

 Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.

 Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.

 Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.

 Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.

 Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.

 Proficiency in programming languages commonly used in AI, such as Python, Java, or R.

 Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

 Familiarity with testing methodologies and practices, including Agile and DevOps.

 Working experience on Python/Java and Selenium also knowledge in prompt engineering.

Budgeting and Planning:

• Assist in the development and management of the annual budget process.
• Monitor budget performance and provide variance analysis.
• Collaborate with department heads to develop and manage departmental budgets.

Data Analysis and Interpretation:

• Gather, analyze, and interpret financial data to identify trends and opportunities.
• Use financial modeling and data analysis tools to support decision-making.
• Prepare ad-hoc financial analyses as requested.

Strategic Support:

• Support strategic initiatives by providing financial analysis and insights.
• Evaluate the financial impact of potential business decisions.
• Assist in the development of business cases and financial justifications.

Process Improvement:

• Identify and recommend process improvements to enhance financial reporting and analysis.
• Contribute to the development and implementation of financial policies and procedures.
• Perform competitive Analysis.

Greetings from Analyttica Datalab. We are currently seeking an Analytics Manager to join our team!

If you are looking for a place to grow your skills and share our values this can be the right opportunity for you.

• Role: Analytics Manager
• Relevant Experience: 7-9 Years
• Type of Role: Full-Time
• Notice Period:1 Month or Less (Immediate Joiners-Preferred)
• Mandatory Skills: Data Analytics, Marketing Analytics, A/B Testing, SQL, Logistic Regression, Segmentation, Customer Analytics, Fintech, Python
• Work Location: Bangalore

About Us

We are fast growing technology enabled advanced analytics and data science start-up. We have clients in USA and India and those two geographies are our current market focus. We are developing

an Artificial Intelligence (AI) embedded data science and analytics product platform (patented in US) with a series of offerings to solve real world problems. We have a world-class team of in-house

technocrats, external consultants, SMEs, data scientists, and experienced business professionals driving the product journey.

What Can You Expect?

Along with the commercial aspects of the engagement (no bar for the right candidate), you can expect an agile environment, with progressive culture and state of the art workplace. You will be presented with a great learning opportunity, while interacting with people from diverse background with the depth and breadth of experiences. Our technical, SME, and business leadership team comprises of each professional with 15+ years of experience and strong credibility to their names.

What Role You Are Expected To Play?

As a Product Analytics Manager focused on growth, you’ll be responsible for guiding the Product Analytics feature and experimentation roadmap which may include but is not limited to go-to-market strategy for partnerships and application of analytics for optimizing the acquisition funnel strategy for our client. Specifically,

you will be responsible for driving higher originations by converting web and app visitors to long-term customers.

Roles and Responsibilities:

• Ability to work hands-on on the top prioritized and strategic initiatives to drive business outcomes.
• Lead and mentor a team of sr. analysts and analysts, fostering a culture of collaboration and data-driven decision-making.
• Work closely with US stakeholders and manage expectations on project delivery, team management and capacity management.
• Develop and implement measurement strategies across marketing and product initiatives, ensuring data accuracy and integrity.
• Conduct in-depth analyses of marketing and product performance, identifying key trends, opportunities, and areas for improvement.
• Design and execute A/B tests to optimize marketing campaigns and product features.
• Prior experience in lifecycle marketing and product cross-selling is preferred.
• Develop and maintain dashboards and reports to track key metrics and provide actionable insights to stakeholders.
• Collaborate closely with cross-functional teams (marketing, product, engineering) to understand business needs and translate data into actionable recommendations.
• Stay up to date on industry trends and best practices in analytics and data management.
• Own the delivery in-take, time management and prioritization of the tasks for your team, leveraging JIRA
• Prior experience working for a US based Fintech would be preferred.

Essential Experience and Qualification:

• Minimum 7 years of experience in marketing and/or product analytics.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Master's degree is a plus.
• Proven expertise in SQL and data management.
• Hands-on experience with Python and advanced analytics techniques (e.g., regression analysis, classification techniques, predictive modeling).
• Hands-on experience with data visualization tools (e.g., Tableau, Looker).
• Hands-on exposure to Git & JIRA for project management.
• Strong understanding of A/B testing methodologies and statistical analysis.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple projects and deadlines effectively.
• Coach and mentor team members on refining analytical approach, time management & prioritization.
• Prior experience working in a fast paced environment and working with US stakeholders

People & Culture

As a company, we believe in working hard and

letting our passion drive us to dream high and

achieve higher. We inspire innovation through

freedom of thought and creativity, and pursue

excellence while ensuring that our integrity

and ethical foundation remain strong.

Honesty, determination, and perseverance

form the core of our value system. Analyttica’s

versatile talent fulfils our value proposition by

taking on fresh challenges and delivering

solutions that blend skill and intuition (science

and art). Understanding the customer/partner

mindset helps us provide technology enabled

scientific solutions at scale for sustainable

business impact.

Industry

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.

8+ years of experience  Excellent skills in C/C++/Java programming in embedded domain 

Strong experience  in the area of Automotive, Android Embedded development and Connectivity Technologies
Strong experience on Android architecture, HAL, BSP, customize driver in Android HAL, Android boot up sequence
Familiar with Android Build System and procedure and able to provide ideas to improve continuous build and integration

Experience in Hardware peripherals like Ethernet, CAN, DMA, I2C, SPI, UART, Hardware Accelerator, AFE , LCD, backlight, touchcontroller

Experience with design/ modification to Hardware Abstraction Libraries (HAL) for Android support of low-level device features.
Experience in debugging on a wide range of Linux Kernel drivers and Android framework HALs e.g. Audio/Video, USB, Bluetooth, WiFi

  Fluent in industry standard software development tools: HSW/HE debuggers, code revision control systems (GIT, Perforce), IDEs and build tools
Exposure/experience in Automotive Embedded Software Development is a plus